Poker Zoo 65: Travis Gets the Grease
If you play in the OOP deepstack training game, or more abstractly, in any online game, you’ve played a hand with Travis Moss. An increasingly reformed tight aggressive, Travis is a student of the game, with a lot of training sites and study behind him. On reflection, Travis seems like a good example of a taking up poker successfully in middle age. He’s the squeaky wheel, someone unafraid to ask a lot of questions in order to get there. We get into some of those answers he found, and now, the ones he’s finding on his own: Travis also has some interesting takes on how the solver works and how one should use it.
Here is some of Travis’ mentioned “rant,” from publicly accessible S4Y discord chat, which is really less of rant than than a reminder that in a zero-sum game of turns, your action can be based on what your opponent can or will do, as opposed to just the equilibrium model of the game:
IN the
Vlog-cast yesterday a point about GTO was made that exemplifies the wide spread misunderstanding of GTO. Game Theory is a process. It is not an absolute. Rock paper Scissors… Opponent always throwing Rock. Many assume the GTO way to play RPS would be to randomly play each one 1/3 of the time. As stated in the Vlog this would result in breakeven against the Rock only player. But that’s not Game theory. Game Theory would actually say you always play Paper against this opponent. UNTIL, the opponent changes. When they change, we then change, Eventually both players (if they keep changing to the situation) will BOTH end up at random 1/3 mix of each. It is only now that the 1/3 mix is the optimal way to play. Throughout this process there will be countless iterations of the optimal strategy in a particular moment.
Published on 4 years, 7 months ago
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